diff --git a/docs/source/getting_started/index.md b/docs/source/getting_started/index.md
index 04ba6e4e4..d7c3fe9e5 100644
--- a/docs/source/getting_started/index.md
+++ b/docs/source/getting_started/index.md
@@ -43,7 +43,7 @@ Configuration for this is available at `distributions/ollama/run.yaml`.
 
 ### 3. Use the Llama Stack client SDK
 
-You can interact with the Llama Stack server using various client SDKs. We will use the Python SDK which you can install using:
+You can interact with the Llama Stack server using various client SDKs. We will use the Python SDK which you can install using the following command. Note that you must be using Python 3.10 or newer:
 ```bash
 pip install llama-stack-client
 ```
@@ -62,7 +62,7 @@ llama-stack-client models list
 
 You can test basic Llama inference completion using the CLI too.
 ```bash
-llama-stack-client
+llama-stack-client \
   inference chat-completion \
   --message "hello, what model are you?"
 ```
diff --git a/llama_stack/providers/tests/agents/fixtures.py b/llama_stack/providers/tests/agents/fixtures.py
index 4159f18f4..9f8e7a12b 100644
--- a/llama_stack/providers/tests/agents/fixtures.py
+++ b/llama_stack/providers/tests/agents/fixtures.py
@@ -81,14 +81,28 @@ async def agents_stack(request, inference_model, safety_shield):
     inference_models = (
         inference_model if isinstance(inference_model, list) else [inference_model]
     )
-    models = [
-        ModelInput(
-            model_id=model,
-            model_type=ModelType.llm,
-            provider_id=providers["inference"][i].provider_id,
+
+    # NOTE: meta-reference provider needs 1 provider per model, lookup provider_id from provider config
+    model_to_provider_id = {}
+    for provider in providers["inference"]:
+        if "model" in provider.config:
+            model_to_provider_id[provider.config["model"]] = provider.provider_id
+
+    models = []
+    for model in inference_models:
+        if model in model_to_provider_id:
+            provider_id = model_to_provider_id[model]
+        else:
+            provider_id = providers["inference"][0].provider_id
+
+        models.append(
+            ModelInput(
+                model_id=model,
+                model_type=ModelType.llm,
+                provider_id=provider_id,
+            )
         )
-        for i, model in enumerate(inference_models)
-    ]
+
     models.append(
         ModelInput(
             model_id="all-MiniLM-L6-v2",